Mathematical submodels in water quality systems
著者
書誌事項
Mathematical submodels in water quality systems
(Developments in environmental modelling, 14)
Elsevier, 1989
大学図書館所蔵 全13件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references and indexes
内容説明・目次
内容説明
The use of models to assess water quality is becoming increasingly important worldwide. In order to be able to develop a good model, it is necessary to have a good quantitative and ecological description of physical, chemical and biological processes in ecosystems. Such descriptions may be called ``submodels''. This book presents the most important, but not all, submodels applied in water quality modelling. Each chapter deals with a specific physical process and covers its importance, the most applicable submodels (and how to select one), parameter values and their determination, and future research needs. The book will be an excellent reference source for environmental engineers, ecological modellers and all those interested in the modelling of water quality systems.
目次
Chapter 1. Introduction. The application of submodels. Overview of the presented submodels. 2. Volatilization. Introduction. The importance of volatilization in environmental context. Models of the volatilization process. The application of the volatilization submodel in environmental modelling. Parameter estimation in the volatilization submodel. Conclusions and future research needs. 3. Reaeration. Introduction. Measurement techniques. Predictive models. Analysis of predictive models for rivers. Summary and conclusion. 4. Adsorption and Ion Exchange. Introduction. Modelling adsorption and ion exchange. The application of adsorption and ion exchange submodels in water quality modelling. Parameter estimation in the adsorption-ion exchange submodel. Conclusions and further research needs. 5. Heat Exchange. Introduction. Evaluation of heat budget terms. Heat exchange at air-water interface. Applications. Acknowledgements. 6. Sedimentation. The role of sedimentation in modelling aquatic ecosystems. Models of sedimentation. Parameter estimation. Application in ecological modelling. Conclusions and further research needs. 7. Coagulation. Introduction. Models of the coagulation process. Aspects of application and parameter estimation. Conclusions and further research needs. 8. Precipitation. Introduction. Mathematical models of the precipitation process. Parameter estimation. Application and examples. 9. Complex Formation. Introduction. Models of complex formation. Parameter estimation. Application of complex formation in environmental models. Conclusions. 10. Hydrolysis and Chemical Redox Processes. Introduction. Models of hydrolysis and redox processes. Parameter estimation. Conclusions. 11. Photochemical Reactions. Introduction. Theoretical basis for the modelling of photochemical reactions. Modelling photochemical reactions in natural waters. Estimation of model parameters. Incorporation of photochemical reactions into geochemical models. Conclusions and research needs. 12. Microbial Decomposition. Introduction. Mathematical models of microbial decomposition. Parameter estimation. Future research needs. 13. Nitrification. Introduction. Nitrifying micro-organisms and factors affecting nitrification. Growth kinetics of nitrifying micro-organisms. Sensitivity of growth parameters to nitrification process. Kinetics expressions for inhibition. Environmental factors. Nitrification zones in natural water bodies. 14. Predator-Prey Interactions. Introduction. Predator-prey models. Elements of predator-prey interaction. Dependence of activity of predators on environmental factors. Predation on more than one prey population. Experimental parameters and function estimation of predator-prey interactions. Applications: predator-prey interactions in ecosystem models. Conclusions and research needs. 15. Primary Productivity. Introduction. Methods and measuring. Model complexity. Formulations. Model application and evaluation.
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